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Added zeta function.
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@ -76,6 +76,7 @@ struct default_packet_traits
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HasTanh = 0,
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HasLGamma = 0,
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HasDiGamma = 0,
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HasZeta = 0,
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HasErf = 0,
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HasErfc = 0,
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HasIGamma = 0,
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@ -451,6 +452,10 @@ Packet plgamma(const Packet& a) { using numext::lgamma; return lgamma(a); }
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template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
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Packet pdigamma(const Packet& a) { using numext::digamma; return digamma(a); }
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/** \internal \returns the zeta function of two arguments (coeff-wise) */
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template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
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Packet pzeta(const Packet& x, const Packet& q) { using numext::zeta; return zeta(x, q); }
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/** \internal \returns the erf(\a a) (coeff-wise) */
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template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
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Packet perf(const Packet& a) { using numext::erf; return erf(a); }
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@ -51,6 +51,7 @@ namespace Eigen
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EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(tanh,scalar_tanh_op)
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EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(lgamma,scalar_lgamma_op)
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EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(digamma,scalar_digamma_op)
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EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(zeta,scalar_zeta_op)
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EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(erf,scalar_erf_op)
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EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(erfc,scalar_erfc_op)
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EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(exp,scalar_exp_op)
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@ -722,6 +722,189 @@ struct igamma_impl {
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#endif // EIGEN_HAS_C99_MATH
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/****************************************************************************
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* Implementation of Riemann zeta function of two arguments *
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****************************************************************************/
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template <typename Scalar>
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struct zeta_retval {
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typedef Scalar type;
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};
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#ifndef EIGEN_HAS_C99_MATH
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template <typename Scalar>
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struct zeta_impl {
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EIGEN_DEVICE_FUNC
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static Scalar run(Scalar x) {
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EIGEN_STATIC_ASSERT((internal::is_same<Scalar, Scalar>::value == false),
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THIS_TYPE_IS_NOT_SUPPORTED);
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return Scalar(0);
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}
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};
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#else
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template <typename Scalar>
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struct zeta_impl {
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EIGEN_DEVICE_FUNC
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static Scalar run(Scalar x, Scalar q) {
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/* zeta.c
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*
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* Riemann zeta function of two arguments
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*
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*
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*
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* SYNOPSIS:
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*
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* double x, q, y, zeta();
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*
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* y = zeta( x, q );
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*
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*
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*
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* DESCRIPTION:
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*
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*
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*
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* inf.
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* - -x
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* zeta(x,q) = > (k+q)
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* -
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* k=0
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*
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* where x > 1 and q is not a negative integer or zero.
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* The Euler-Maclaurin summation formula is used to obtain
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* the expansion
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*
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* n
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* - -x
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* zeta(x,q) = > (k+q)
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* -
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* k=1
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*
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* 1-x inf. B x(x+1)...(x+2j)
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* (n+q) 1 - 2j
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* + --------- - ------- + > --------------------
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* x-1 x - x+2j+1
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* 2(n+q) j=1 (2j)! (n+q)
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*
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* where the B2j are Bernoulli numbers. Note that (see zetac.c)
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* zeta(x,1) = zetac(x) + 1.
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*
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*
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*
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* ACCURACY:
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*
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*
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*
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* REFERENCE:
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*
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* Gradshteyn, I. S., and I. M. Ryzhik, Tables of Integrals,
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* Series, and Products, p. 1073; Academic Press, 1980.
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*
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*/
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int i;
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/*double a, b, k, s, t, w;*/
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Scalar p, r, a, b, k, s, t, w;
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const double A[] = {
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12.0,
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-720.0,
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30240.0,
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-1209600.0,
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47900160.0,
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-1.8924375803183791606e9, /*1.307674368e12/691*/
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7.47242496e10,
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-2.950130727918164224e12, /*1.067062284288e16/3617*/
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1.1646782814350067249e14, /*5.109094217170944e18/43867*/
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-4.5979787224074726105e15, /*8.028576626982912e20/174611*/
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1.8152105401943546773e17, /*1.5511210043330985984e23/854513*/
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-7.1661652561756670113e18 /*1.6938241367317436694528e27/236364091*/
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};
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const Scalar maxnum = NumTraits<Scalar>::infinity();
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const Scalar zero = 0.0, half = 0.5, one = 1.0;
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const Scalar machep = igamma_helper<Scalar>::machep();
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if( x == one )
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return maxnum; //goto retinf;
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if( x < one )
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{
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// domerr:
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// mtherr( "zeta", DOMAIN );
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return zero;
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}
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if( q <= zero )
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{
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if(q == numext::floor(q))
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{
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// mtherr( "zeta", SING );
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// retinf:
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return maxnum;
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}
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p = x;
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r = numext::floor(p);
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// if( x != floor(x) )
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// goto domerr; /* because q^-x not defined */
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if (p != r)
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return zero;
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}
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/* Euler-Maclaurin summation formula */
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/*
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if( x < 25.0 )
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*/
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{
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/* Permit negative q but continue sum until n+q > +9 .
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* This case should be handled by a reflection formula.
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* If q<0 and x is an integer, there is a relation to
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* the polygamma function.
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*/
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s = numext::pow( q, -x );
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a = q;
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i = 0;
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b = zero;
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while( (i < 9) || (a <= Scalar(9.0)) )
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{
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i += 1;
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a += one;
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b = numext::pow( a, -x );
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s += b;
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if( numext::abs(b/s) < machep )
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return s; // goto done;
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}
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w = a;
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s += b*w/(x-one);
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s -= half * b;
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a = one;
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k = zero;
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for( i=0; i<12; i++ )
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{
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a *= x + k;
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b /= w;
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t = a*b/A[i];
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s = s + t;
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t = numext::abs(t/s);
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if( t < machep )
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return s; // goto done;
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k += one;
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a *= x + k;
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b /= w;
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k += one;
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}
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// done:
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return(s);
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}
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}
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};
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#endif // EIGEN_HAS_C99_MATH
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} // end namespace internal
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namespace numext {
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@ -738,6 +921,12 @@ EIGEN_DEVICE_FUNC inline EIGEN_MATHFUNC_RETVAL(digamma, Scalar)
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return EIGEN_MATHFUNC_IMPL(digamma, Scalar)::run(x);
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}
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template <typename Scalar>
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EIGEN_DEVICE_FUNC inline EIGEN_MATHFUNC_RETVAL(zeta, Scalar)
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zeta(const Scalar& x, const Scalar& q) {
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return EIGEN_MATHFUNC_IMPL(zeta, Scalar)::run(x, q);
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}
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template <typename Scalar>
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EIGEN_DEVICE_FUNC inline EIGEN_MATHFUNC_RETVAL(erf, Scalar)
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erf(const Scalar& x) {
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@ -92,6 +92,20 @@ double2 pdigamma<double2>(const double2& a)
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return make_double2(digamma(a.x), digamma(a.y));
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}
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template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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float4 pzeta<float4>(const float4& a)
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{
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using numext::zeta;
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return make_float4(zeta(a.x), zeta(a.y), zeta(a.z), zeta(a.w));
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}
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template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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double2 pzeta<double2>(const double2& a)
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{
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using numext::zeta;
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return make_double2(zeta(a.x), zeta(a.y));
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}
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template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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float4 perf<float4>(const float4& a)
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{
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@ -40,6 +40,7 @@ template<> struct packet_traits<float> : default_packet_traits
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HasRsqrt = 1,
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HasLGamma = 1,
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HasDiGamma = 1,
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HasZeta = 1,
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HasErf = 1,
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HasErfc = 1,
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HasIgamma = 1,
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@ -449,6 +449,28 @@ struct functor_traits<scalar_digamma_op<Scalar> >
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};
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};
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/** \internal
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* \brief Template functor to compute the Riemann Zeta function of two arguments.
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* \sa class CwiseUnaryOp, Cwise::zeta()
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*/
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template<typename Scalar> struct scalar_zeta_op {
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EIGEN_EMPTY_STRUCT_CTOR(scalar_zeta_op)
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EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& x, const Scalar& q) const {
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using numext::zeta; return zeta(x, q);
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}
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typedef typename packet_traits<Scalar>::type Packet;
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EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& x, const Packet& q) const { return internal::pzeta(x, q); }
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};
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template<typename Scalar>
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struct functor_traits<scalar_zeta_op<Scalar> >
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{
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enum {
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// Guesstimate
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Cost = 10 * NumTraits<Scalar>::MulCost + 5 * NumTraits<Scalar>::AddCost,
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PacketAccess = packet_traits<Scalar>::HasZeta
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};
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};
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/** \internal
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* \brief Template functor to compute the Gauss error function of a
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* scalar
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@ -23,6 +23,7 @@ typedef CwiseUnaryOp<internal::scalar_sinh_op<Scalar>, const Derived> SinhReturn
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typedef CwiseUnaryOp<internal::scalar_cosh_op<Scalar>, const Derived> CoshReturnType;
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typedef CwiseUnaryOp<internal::scalar_lgamma_op<Scalar>, const Derived> LgammaReturnType;
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typedef CwiseUnaryOp<internal::scalar_digamma_op<Scalar>, const Derived> DigammaReturnType;
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typedef CwiseUnaryOp<internal::scalar_zeta_op<Scalar>, const Derived> ZetaReturnType;
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typedef CwiseUnaryOp<internal::scalar_erf_op<Scalar>, const Derived> ErfReturnType;
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typedef CwiseUnaryOp<internal::scalar_erfc_op<Scalar>, const Derived> ErfcReturnType;
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typedef CwiseUnaryOp<internal::scalar_pow_op<Scalar>, const Derived> PowReturnType;
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@ -329,6 +330,14 @@ digamma() const
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return DigammaReturnType(derived());
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}
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/** \returns an expression of the coefficient-wise zeta function.
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*/
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inline const ZetaReturnType
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zeta() const
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{
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return ZetaReturnType(derived());
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}
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/** \returns an expression of the coefficient-wise Gauss error
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* function of *this.
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*
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@ -323,6 +323,15 @@ template<typename ArrayType> void array_real(const ArrayType& m)
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VERIFY_IS_EQUAL(numext::digamma(Scalar(-1)),
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std::numeric_limits<RealScalar>::infinity());
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// Check the zeta function against scipy.special.zeta
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VERIFY_IS_APPROX(numext::zeta(Scalar(1.5), Scalar(2)), RealScalar(1.61237534869));
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VERIFY_IS_APPROX(numext::zeta(Scalar(4), Scalar(1.5)), RealScalar(0.234848505667));
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VERIFY_IS_APPROX(numext::zeta(Scalar(10.5), Scalar(3)), RealScalar(1.03086757337e-5));
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VERIFY_IS_APPROX(numext::zeta(Scalar(10000.5), Scalar(1.0001)), RealScalar(0.367879440865));
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VERIFY_IS_APPROX(numext::zeta(Scalar(3), Scalar(-2.5)), RealScalar(0.054102025820864097));
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VERIFY_IS_EQUAL(numext::zeta(Scalar(1), Scalar(1.2345)), // The second scalar does not matter
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std::numeric_limits<RealScalar>::infinity());
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{
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// Test various propreties of igamma & igammac. These are normalized
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// gamma integrals where
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@ -133,6 +133,12 @@ class TensorBase<Derived, ReadOnlyAccessors>
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return unaryExpr(internal::scalar_digamma_op<Scalar>());
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}
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE const TensorCwiseUnaryOp<internal::scalar_zeta_op<Scalar>, const Derived>
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zeta() const {
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return unaryExpr(internal::scalar_zeta_op<Scalar>());
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}
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE const TensorCwiseUnaryOp<internal::scalar_erf_op<Scalar>, const Derived>
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erf() const {
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